LEADER 03598 am 22006493u 450 001 9910298406803321 005 20230125203231.0 010 $a3-319-91223-2 024 7 $a10.1007/978-3-319-91223-3 035 $a(CKB)4100000006674895 035 $a(DE-He213)978-3-319-91223-3 035 $a(MiAaPQ)EBC6422657 035 $a(Au-PeEL)EBL6422657 035 $a(OCoLC)1055826092 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/27343 035 $a(PPN)230541607 035 $a(EXLCZ)994100000006674895 100 $a20180926d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLinear Selection Indices in Modern Plant Breeding$b[electronic resource] /$fby J. Jesus Céron-Rojas, José Crossa 205 $a1st ed. 2018. 210 $aCham$cSpringer Nature$d2018 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXII, 256 p. 45 illus. in color.) 311 $a3-319-91222-4 327 $aGeneral introduction -- The linear phenotypic selection index theory -- Constrained linear phenotypic selection indices -- Constrained linear phenotypic selection indices -- Linear marker and genomic selection indices -- Linear genomic selection indices -- Constrained linear genomic selection indices -- Linear phenotypic eigen selection index methods -- Linear molecular and genomic eigen selection index methods -- Multistage linear selection indices -- Stochastic simulation of four linear phenotypic selection indices -- RIndSel: Selection indices with R. 330 $aThis open access book focuses on the linear selection index (LSI) theory and its statistical properties. It addresses the single-stage LSI theory by assuming that economic weights are fixed and known - or fixed, but unknown - to predict the net genetic merit in the phenotypic, marker and genomic context. Further, it shows how to combine the LSI theory with the independent culling method to develop the multistage selection index theory. The final two chapters present simulation results and SAS and R codes, respectively, to estimate the parameters and make selections using some of the LSIs described. It is essential reading for plant quantitative geneticists, but is also a valuable resource for animal breeders. 606 $aBiostatistics 606 $aPlant breeding 606 $aAnimal genetics 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aPlant Breeding/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/L24060 606 $aAnimal Genetics and Genomics$3https://scigraph.springernature.com/ontologies/product-market-codes/L32030 610 $aLife sciences 610 $aBiostatistics 610 $aPlant breeding 610 $aAnimal genetics 615 0$aBiostatistics. 615 0$aPlant breeding. 615 0$aAnimal genetics. 615 14$aBiostatistics. 615 24$aPlant Breeding/Biotechnology. 615 24$aAnimal Genetics and Genomics. 676 $a570.15195 700 $aCéron-Rojas$b J. Jesus$4aut$4http://id.loc.gov/vocabulary/relators/aut$0978299 702 $aCrossa$b José$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298406803321 996 $aLinear Selection Indices in Modern Plant Breeding$92229499 997 $aUNINA LEADER 01564nam 2200445 450 001 9910715359003321 005 20210223134030.0 035 $a(CKB)5470000002510444 035 $a(OCoLC)1238133193 035 $a(EXLCZ)995470000002510444 100 $a20210223d2020 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aClimate indicators for agriculture 210 1$aWashington, D.C. :$cUnited States Department of Agriculture, Climate Change Program Office,$d2020. 215 $a1 online resource (iv, 70 pages) $ccolor illustrations, color maps 225 1 $aTechnical Bullentin ;$v1953 300 $a"Authors: Margaret Walsh [and eight others]" --Page 70. 300 $a"July 2020." 320 $aIncludes bibliographical references. 606 $aCrops and climate$zUnited States 606 $aAgriculture$xEnvironmental aspects$zUnited States 606 $aEnvironmental indicators$zUnited States 606 $aClimatic changes$zUnited States 606 $aGreenhouse gases$zUnited States 615 0$aCrops and climate 615 0$aAgriculture$xEnvironmental aspects 615 0$aEnvironmental indicators 615 0$aClimatic changes 615 0$aGreenhouse gases 712 02$aUnited States.$bDepartment of Agriculture.$bClimate Change Program Office, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910715359003321 996 $aClimate indicators for agriculture$93341731 997 $aUNINA